9789811689291 - advances in machine learning for big data analysis: 218 (14 risultati)
Lingua: Inglese
Editore: Springer, 2022
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Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2022
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Hardcover. Condizione: new. Hardcover. This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems.In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the ba…nking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 185 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
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Condizione: New. 2022nd edition NO-PA16APR2015-KAP.
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Lingua: Inglese
Editore: Springer, Springer, 2022
Serie: Libro 185 di 188 - Intelligent Systems Reference Library
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems.In this book, various advancements of machine learning algorithms to extract data-driven decisions from big d…ata in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2022
Serie: Libro 185 di 188 - Intelligent Systems Reference Library
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Hardcover. Condizione: new. Hardcover. This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems.In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the ba…nking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 185 di 188 - Intelligent Systems Reference Library
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Advances in Machine Learning for Big Data Analysis
Dehuri, Satchidananda (Edited by)/ Chen, Yen-Wei (Edited by)
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 185 di 188 - Intelligent Systems Reference Library
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 258 pages. 9.25x6.10x0.63 inches. In Stock. This item is printed on demand.
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Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2022
Serie: Libro 185 di 188 - Intelligent Systems Reference Library
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems.In this book, various advancements of machine learning algorithms to ex…tract data-driven decisions fro.
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Lingua: Inglese
Editore: Springer Nature Singapore Feb 2022, 2022
Serie: Libro 185 di 188 - Intelligent Systems Reference Library
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems.In this book, various advancements of machine learning algorithms to extract data-driven deci…sions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems. 260 pp. Englisch.
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Lingua: Inglese
Editore: Springer, Springer Feb 2022, 2022
Serie: Libro 185 di 188 - Intelligent Systems Reference Library
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems.In this book, various advancements of machine learning algorithms to extract data-driven decision…s from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 260 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 185 di 188 - Intelligent Systems Reference Library
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Lingua: Inglese
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